Finding Optimum Parameters of Passive Tuned Mass Damper by PSO, WOA, and Hybrid PSO-WOA (HPW) Algorithms

Abstract

Using a tuned mass damper (TMD) is one of the passive methods of controlling structural vibrations. This energy absorption system has a mass, a spring, and a damper attaching to the main structure and vibrating with it, reducing the dynamic response of the structure by preventing the intensification. Therefore, finding optimal parameters is one of the main essential issues in the study and design of tuned mass dampers. This study investigates the optimization of parameters of an adjusted mass damper to reduce the displacement and relative response of a multi-story structural system equipped with this damper. For this purpose, a 10-story frame with similar properties on each floor and a 10-story frame with different properties on each floor were modeled under seismic loading in OpenSees software. The optimum parameters were extracted by Matlab software, using the particle swarm optimization (PSO) algorithm, whale optimization algorithm (WOA), and the combination of these two algorithms (Hybrid PSO-WOA) and state space equations controlled the results. Comparing the results with the methods presented by other researchers showed that the proposed methods have good performance and are recommended as approximate and rapid methods for the optimal design of these dampers.

Keywords

• tuned mass damper
• optimal parameters
• particle swarm optimization (pso) algorithm
• whale optimization algorithm (woa)
• hybrid pso-woa (hpw)
• state space equations